| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[5]
44
adaptive
PyclusteringXMeans(initial_centers=[array([3.20000000e+01, 2.40000000e+01, 7.55667400e-03, 2.51889200e-03,
9.84886651e-01, 1.96078431e-01, 6.04477612e-01, 4.65489385e-01,
2.40000000e+01, 3.20000000e+01, 4.52829748e-01, 5.89131176e-01,
1.42699115e-01, 6.24463519e-01, 3.54077250e-02]),
array([8.00000000e+00, 2.70000000e+01, 4.70941880e-02, 3.70741480e-02,
9.02805612e-01, 2.48704663e-01, 5.94594595e-01, 4.22557562e-01,
2.70000000e+01, 8.00000000e+00, 5.02329952e-01, 6.45313800e-01,
3.06158509e-01, 5.55869197e-01, 9.74746100e-03])])
None
1
636
1496
5179
2068
precinct, ward, HVAP_pct, WVAP_pct, BVAP_pct, GARCIA_G15_pct, RO_EMAN_G15_pct, normalized_log_area, WARD, PRECINCT, normalized_centroid_x, normalized_centroid_y, uninsured_pct, female_pct, veteran_pct
mean